UX & UI design
Interfaces for AI products that are easy to use on the tenth visit — not just the first demo.
Overview
Design that survives contact with real users and real models
Good design is most of the reason a product feels trustworthy. With AI, that means showing confidence, sources, and an easy path to edit or undo — not a blank chat box.
We work in the browser early. Static mockups hide problems that only appear once real data, long names, slow connections, and model latency are involved.
- Research and review before pixels
- AI UX patterns: citations, confidence, edit-before-send
- Wireframes agreed before visual design
- A component library, not one-off screens
- Accessible colour, focus, and keyboard behaviour
What’s included
How we work on design
UX review
An audit of the current product with prioritised, specific recommendations.
AI interaction design
Flows for copilots and agents that make uncertainty visible and recoverable.
Sketching and wireframes
Cheap, fast structure work — so the expensive decisions are made on paper.
Visual design
Type, colour, and layout systems that scale past the first few screens.
Design systems
Reusable components documented for the people who will build with them.
Responsive and mobile
One design language that holds together from phone to wide desktop.
Process
How the engagement runs
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01
Understand
- Stakeholder interviews
- Current-state review
- Success measures
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02
Explore
- Sketches and flows
- AI interaction prototypes
- Rapid feedback
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03
Deliver
- Visual system
- Component library
- Handover to engineering
Stack
Tools we reach for
- Figma
- Design tokens
- AI UX patterns
- Sass
- Bootstrap
- Tailwind
- WCAG 2.2
Let's talk about the AI you want to ship
Tell us where you are — an idea, a half-built product, or a system that needs AI that earns its keep. We will reply with a practical next step.
